bird

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-30.)

bird has 20 facts recorded in Dontopedia across 10 references, with 3 live disagreements.

20 facts·14 predicates·10 sources·3 in dispute

Mostly:rdf:type(4), was(2), successfully added to image(1)

Inbound mentions (11)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`carriedPassenger`Carried Passenger(2)

Elamangex:elamang
Junoex:juno

`claimsNeverToHaveKilled`Claims Never to Have Killed(1)

Old Farmerex:old-farmer

`hadReasonToMislead`Had Reason to Mislead(1)

Dr Callaghanex:dr-callaghan

`hasObject`Has Object(1)

Discord User 1438866165475708979ex:discord-user-1438866165475708979

`includesTaxonomicGroup`Includes Taxonomic Group(1)

Perch 2 0ex:perch-2-0

`mentionedEntity`Mentioned Entity(1)

Generated Textex:generated-text

`partOf`Part of(1)

Bird on Man's Shoulderex:bird-on-man's-shoulder

`presupposesExistenceOf`Presupposes Existence of(1)

Generated Textex:generated-text

`rdf:type`Rdf:type(1)

Birdex:bird

`receivedBy`Received by(1)

Federal Council Hobartex:federal-council-hobart

Other facts (18)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

18 facts

Predicate	Value	Ref
Rdf:type	Animal	[7]
Rdf:type	Animal	[8]
Rdf:type	Taxon	[9]
Rdf:type	Bird	[10]
Was	Big Boat	[2]
Was	Song	[2]
Successfully Added to Image	Man in Image	[1]
Things	Bark	[2]
Was Blue for Birds	null	[3]
Departed From	Sydney	[4]
Apparently	Black Bittern Ixobrychus Flavicollis	[5]
Rdf Type	Person	[6]
Has Name	Bird	[6]
Was Misled	Dr Callaghan	[6]
Has Role	investigator or correspondent	[6]
Is Related to Event	Attack North Keppel 1865	[6]
Has Attribute	blue	[8]
Evolved Means of Sound Production	Myoelastic Aerodynamic Mechanism	[9]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

20 undated

—

successfullyAddedToImageblah/omega/part-348

ex:man-in-image

—

wasblah/watt-activation/part-681

ex:big-boat

—

wasblah/watt-activation/part-681

ex:song

—

thingsblah/watt-activation/part-681

ex:bark

—

wasBlueForBirdsblah/watt-activation/part-683

null

—

departedFromtrove-cooktown/mauritius-queensland

ex:sydney

—

apparentlyrosie-reynolds-massacre-connection/cole-2010-painting-the-police-harry-mole-child-capture-3345

ex:black-bittern-ixobrychus-flavicollis

—

rdfTypefrontier-massacres/38090

ex:Person

—

hasNamefrontier-massacres/38090

Bird

—

wasMisledfrontier-massacres/38090

ex:dr-callaghan

—

hasRolefrontier-massacres/38090

investigator or correspondent

—

isRelatedToEventfrontier-massacres/38090

ex:attack-north-keppel-1865

—

labelblah/watt-activation/678

bird

—

typeblah/watt-activation/678

ex:Animal

—

typeblah/watt-activation/680

ex:Animal

—

hasAttributeblah/watt-activation/680

blue

—

typetp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

ex:Taxon

—

labeltp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

birds

—

evolvedMeansOfSoundProductiontp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

ex:myoelastic-aerodynamic-mechanism

—

typedocument/00222384-9454-413b-9532-a4ccda56a8e1

ex:bird

References (10)

10 references

[1]Part 3481 fact
ctx:discord/blah/omega/part-348
[2]Part 6813 facts
ctx:discord/blah/watt-activation/part-681
[3]Part 6831 fact
ctx:discord/blah/watt-activation/part-683
[4]Mauritius Queensland1 fact
ctx:genes/trove-cooktown/mauritius-queensland
[5]Cole 2010 Painting the Police Harry Mole Child Capture 33451 fact
ctx:genes/rosie-reynolds-massacre-connection/cole-2010-painting-the-police-harry-mole-child-capture-3345
[6]380905 facts
ctx:genealogy/frontier-massacres/38090
- full textctx:genealogy/frontier-massacres/38090
  text/plain2 KBdoc:genealogy/frontier-massacres/38090
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  # Frontier conflict event: Attack on Aboriginal people - North Keppel Island (1865) Source dataset: University of Newcastle, "Colonial Frontier Massacres in Australia 1788-1930" (c21ch.newcastle.edu.au), entry 38090. Coordinates: latitude …
[7]6782 facts
ctx:discord/blah/watt-activation/678
- full textwatt-activation-678
  text/plain1 KBdoc:agent/watt-activation-678/9cf513a0-e0ef-489e-b7f1-253c1a2aea9f
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  [2026-04-22 14:37] xenonfun: ``` [gen] prefill 15 bytes in 0.02s (876 tok/s); decode 2020 bytes in 2.35s (860 tok/s) temp=0.3 [lex] toks=366 sents=16 types=137 mattr50=0.398 distinct1=0.374 distinct2=0.597 rep4g=0.256 hapax=0.796 clause=0.1…
[8]6802 facts
ctx:discord/blah/watt-activation/680
- full textwatt-activation-680
  text/plain3 KBdoc:agent/watt-activation-680/6640a751-86a8-42a7-be2d-8d345af5518e
  Show excerpt
  [2026-04-22 14:56] xenonfun: ``` [gen] prefill 15 bytes in 0.02s (823 tok/s); decode 1000 bytes in 1.16s (862 tok/s) temp=0.3 [lex] toks=186 sents=1 types=56 mattr50=0.431 distinct1=0.301 distinct2=0.551 rep4g=0.180 hapax=0.679 clause=0.000…
[9]tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims3 facts
tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims
- full textchunk-009
  text/plain3 KBdoc:agent/chunk-009/f33235ee-7e4c-40ec-b809-de198012fc5f
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  nighan, T. B. Brown, B. Chess, R. Child, S. Gray, A. Radford, J. Wu, and D. Amodei. Scaling laws for neural language models. arXiv [cs.LG], Jan. 2020. E. Mercado and S. Handel. Understanding the structure of humpback whale songs (l). The Jo…
- full textchunk-008
  text/plain3 KBdoc:agent/chunk-008/5506d265-7ff5-434b-b60e-b755c8a596d6
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  Marine Science, 11:1394695, 2024. J. A. Allen, E. C. Garland, C. Garrigue, R. A. Dunlop, and M. J. Noad. Song complexity is maintained during inter-population cultural transmission of humpback whale songs. Scientific reports, 12(1): 8999, 2…
- full textchunk-007
  text/plain3 KBdoc:agent/chunk-007/04710b2a-ba75-48cb-94b5-13d951854faa
  Show excerpt
  atasets with thousands of classes can be high performing, even on out-of-domain down- stream tasks. Next, the ‘bittern lesson’ learned when training Perch 2.0 was that bird species classification in particular is a challenging su- pervision…
- full textchunk-006
  text/plain3 KBdoc:agent/chunk-006/44f49039-e92d-4aae-a989-a3343ce76194
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  = 8k = 16k = 8 k = 16k = 8 k = 16 GMWM0.8900.9140.7640.8210.9360.9540.868* 0.917*0.8230.855 SurfPerch 0.9320.9470.8590.9030.9810.9840.7960.8990.982* 0.986* Perch 1.0 0.9580.9680.9010.9310.9770.9810.8360.9050.9580.970 Perch 2.0 0.9…
- full textchunk-005
  text/plain3 KBdoc:agent/chunk-005/31b9995b-056a-4dab-a3da-ede4fabae094
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  V2.348 kHz3.0102420.0MBirds, Frogs AVES-bio16 kHzVariable768 2 94.4MGeneral Audio BirdAVES (large)16 kHzVariable1024 3 315.4MGeneral Audio + Birds 4 Comparison models. As our goal is to provide guidance on which pretrained embedding models …
- full textchunk-004
  text/plain3 KBdoc:agent/chunk-004/2ce1467e-29e9-40e4-a12c-ee1e34601ebc
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  ludes new classes unseen by the models. The classes used in the NOAA PIPAN evaluation set include anthropomorphic noise, unknown whale species, and the following baleen whale species: common minke whale, humpback whale, sei whale, blue whal…
- full textchunk-003
  text/plain3 KBdoc:agent/chunk-003/05e7df2c-afdb-4b38-8576-118d1c22e948
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  ained on log-mel spectrograms using a classification loss. Additionally, the model used a form of self-distillation and a self-supervised loss (in the form of source recording prediction) with the goal of producing strong embeddings that ar…
- full textchunk-002
  text/plain3 KBdoc:agent/chunk-002/6ad8a5fa-2898-42fc-95e1-ea78861375f7
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  ion as new sounds are discovered while not having large amounts of human labeled data. Despite these challenges, passive acoustic monitoring is a critical tool for marine conservation and ecology (Fleishman et al., 2023), and discoveries ab…
- full textchunk-001
  text/plain3 KBdoc:agent/chunk-001/2b871fa0-4034-4d77-a1ce-b818711dd372
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  Perch 2.0 transfers ‘whale’ to underwater tasks Andrea Burns ∗ Google DeepMind Lauren Harrell ∗ Google Research Bart van Merriënboer Google DeepMind Vincent Dumoulin Google DeepMind Jenny Hamer Google DeepMind Tom Denton Google DeepMind Abs…
- full textchunk-005
  text/plain3 KBdoc:agent/chunk-005/84c4d25d-a6fb-4da9-95ec-773c6e223fa2
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  monitoring. Ecol. Inform., 61(101236):101236, Mar. 2021. 6 J. Kaplan, S. McCandlish, T. Henighan, T. B. Brown, B. Chess, R. Child, S. Gray, A. Radford, J. Wu, and D. Amodei. Scaling laws for neural language models. arXiv [cs.LG], Jan. 2020…
- full textchunk-004
  text/plain6 KBdoc:agent/chunk-004/597f88dd-b871-4083-99cd-a9a4484853ab
  Show excerpt
  e datasets with thousands of classes can be high performing, even on out-of-domain down- stream tasks. Next, the ‘bittern lesson’ learned when training Perch 2.0 was that bird species classification in particular is a challenging su- pervis…
- full textchunk-003
  text/plain6 KBdoc:agent/chunk-003/e23b9efa-8e61-4312-a564-68c6956429b2
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  ce on which pretrained embedding models should be used for agile modeling and transfer learning (with existing tools), we limit our comparisons to models supported in the Perch Hoplite Github repository 5 . We compare the performance of the…
- full textchunk-002
  text/plain6 KBdoc:agent/chunk-002/f0b400dc-caae-4eca-b34a-d5598b9eddf0
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  l of producing strong embeddings that are linearly separable for a wide range of bioacoustics tasks. Embeddings from the Perch model have shown successful generalization to tasks other than species classification (e.g., individual identific…
- full textchunk-001
  text/plain6 KBdoc:agent/chunk-001/ae1f6e1d-0812-43e1-93c6-1e7778c77d74
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  Perch 2.0 transfers ‘whale’ to underwater tasks Andrea Burns ∗ Google DeepMind Lauren Harrell ∗ Google Research Bart van Merriënboer Google DeepMind Vincent Dumoulin Google DeepMind Jenny Hamer Google DeepMind Tom Denton Google DeepMind Abs…
- full texttoiletpaper-smoke-paper
  application/pdf24 KBtp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9
  Show excerpt
  Perch 2.0 transfers ‘whale’ to underwater tasks Andrea Burns ∗ Google DeepMind Lauren Harrell ∗ Google Research Bart van Merriënboer Google DeepMind Vincent Dumoulin Google DeepMind Jenny Hamer Google DeepMind Tom Denton Google DeepMind A…
[10]00222384 9454 413b 9532 A4ccda56a8e11 fact
ctx:claims/document/00222384-9454-413b-9532-a4ccda56a8e1
- full textajaxdavis: <@1438866165475708979> add a bird on mans shoulder
  text/plain50 Bdiscord:msg/547369f7-e457-41f3-8091-7daf1a9356b6
  Show excerpt
  <@1438866165475708979> add a bird on mans shoulder…

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bird

Inbound mentions (11)

carriedPassengerCarried Passenger(2)

claimsNeverToHaveKilledClaims Never to Have Killed(1)

hadReasonToMisleadHad Reason to Mislead(1)

hasObjectHas Object(1)

includesTaxonomicGroupIncludes Taxonomic Group(1)

mentionedEntityMentioned Entity(1)

partOfPart of(1)

presupposesExistenceOfPresupposes Existence of(1)

rdf:typeRdf:type(1)

receivedByReceived by(1)

Other facts (18)

Timeline

References (10)

See also

Keep researching

`carriedPassenger`Carried Passenger(2)

`claimsNeverToHaveKilled`Claims Never to Have Killed(1)

`hadReasonToMislead`Had Reason to Mislead(1)

`hasObject`Has Object(1)

`includesTaxonomicGroup`Includes Taxonomic Group(1)

`mentionedEntity`Mentioned Entity(1)

`partOf`Part of(1)

`presupposesExistenceOf`Presupposes Existence of(1)

`rdf:type`Rdf:type(1)

`receivedBy`Received by(1)